Triple
T3720300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Historical Books (Christian canon) |
E81621
|
entity |
| Predicate | classificationVariesBy |
P25488
|
FINISHED |
| Object | Christian tradition |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Christian tradition | Statement: [Historical Books (Christian canon), classificationVariesBy, Christian tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classificationVariesBy Context triple: [Historical Books (Christian canon), classificationVariesBy, Christian tradition]
-
A.
areClassifiedBy
chosen
Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
-
B.
classified
Indicates that one entity has assigned another entity to a specific category, group, or type based on defined criteria.
-
C.
classificationTerm
Indicates that one entity serves as a categorical label or type used to classify or group another entity.
-
D.
classificationByUS
Indicates a relationship where an entity is assigned a category, status, or type according to a classification system defined or used by the United States.
-
E.
classificationStart
Indicates the point in time or process at which a classification or categorization of an entity begins.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca9b5ca8819094299fffc02606ce |
completed | March 8, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.